Automatic Detection of Generalized Epileptic Seizures
نویسندگان
چکیده
منابع مشابه
Automatic Detection of Generalized Epileptic Seizures
Sensed signals from the human body provide information about the health status. The basic clinical methods used for the diagnosis of neural disorders include electroencephalography (EEG). There are a number of algorithms for automatic localization of epileptic graphoelements. Currently, the most widespread disease of the brain is epilepsy which can be diagnosed by using EEG. We will further dea...
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Epilepsy is a neurological disorder which manifest by recurrent involuntary seizures. The seizures dynamics is wide ranging from blinking of the eye to severe muscle contraction. Seizures may occur during driving, sleeping hours or when the patient is alone. If it is not monitored and no proper attention is provided immediately by a bystander or a doctor, may even lead to the patient’s death. B...
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Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...
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INTRODUCTION In this paper we propose a technique based on reservoir computing (RC) to mark epileptic seizures on the intra-cranial electroencephalogram (EEG) of rats. RC is a recurrent neural networks training technique which has been shown to possess good generalization properties with limited training. MATERIALS The system is evaluated on data containing two different seizure types: absenc...
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ژورنال
عنوان ژورنال: Advances in Electrical and Electronic Engineering
سال: 2015
ISSN: 1804-3119,1336-1376
DOI: 10.15598/aeee.v13i2.1254